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Produkt zum Begriff LinkedIn Learning:


  • Ekman, Magnus: Learning Deep Learning
    Ekman, Magnus: Learning Deep Learning

    Learning Deep Learning , NVIDIA's Full-Color Guide to Deep Learning: All StudentsNeed to Get Started and Get Results Learning Deep Learning is a complete guide to DL.Illuminating both the core concepts and the hands-on programming techniquesneeded to succeed, this book suits seasoned developers, data scientists,analysts, but also those with no prior machine learning or statisticsexperience. After introducing the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers,Magnus Ekman shows how to use them to build advanced architectures, includingthe Transformer. He describes how these concepts are used to build modernnetworks for computer vision and natural language processing (NLP), includingMask R-CNN, GPT, and BERT. And he explains how a natural language translatorand a system generating natural language descriptions of images. Throughout, Ekman provides concise, well-annotated code examples usingTensorFlow with Keras. Corresponding PyTorch examples are provided online, andthe book thereby covers the two dominating Python libraries for DL used inindustry and academia. He concludes with an introduction to neural architecturesearch (NAS), exploring important ethical issues and providing resources forfurther learning. Exploreand master core concepts: perceptrons, gradient-based learning, sigmoidneurons, and back propagation See how DL frameworks make it easier to developmore complicated and useful neural networks Discover how convolutional neuralnetworks (CNNs) revolutionize image classification and analysis Apply recurrentneural networks (RNNs) and long short-term memory (LSTM) to text and othervariable-length sequences Master NLP with sequence-to-sequence networks and theTransformer architecture Build applications for natural language translation andimage captioning , >

    Preis: 49.28 € | Versand*: 0 €
  • Learning Blender
    Learning Blender

    Master the Newest Blender Techniques for Creating Amazing 3D Characters: From Design and Modeling to Video CompositingNow fully updated for Blender 2.83 LTS (Long-Term Support) and beyond, Learning Blender, Third Edition, walks you through every step of creating an outstanding 3D animated character with Blender, and then compositing it in a real video using a professional workflow. This edition covers the extensive interface changes of the software, as well as many improvements and some almost fully rewritten chapters to showcase more modern workflows.Still the only Blender tutorial to take you from preproduction to final result, this guide is perfect for both novices and those moving from other software to Blender (open source and free software). Author Oliver Villar provides full-color, hands-on chapters that cover every aspect of character creation: design, modeling, unwrapping, texturing, shading, rigging, animation, and rendering. He also walks you through integrating your animated character into a real-world video, using professional camera tracking, lighting, and compositing techniques.The rich companion website (blendtuts.com/learning-blender-files) will help you quickly master even the most complex techniques with bonus contents like video tutorials. By the time you're done, you'll be ready to create outstanding characters for all media -- and you'll have up-to-date skills for any 3D project, whether it involves characters or not.Learn Blender's updated user interface and navigationCreate your first scene with Blender and the Blender Render and Cycles render enginesOrganize an efficient, step-by-step pipeline to streamline workflow in any projectMaster modeling, unwrapping, and texturingBring your character to life with materials and shading in both Cycles and EEVEE (the new real-time render engine included in Blender)Create your character's skeleton and make it walkUse Camera Tracking to mix 3D objects into a real-world videoTransform a raw rendered scene into the final result using Blender's compositing nodesRegister your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

    Preis: 33.16 € | Versand*: 0 €
  • Easy Learning
    Easy Learning

    Kinder-Wanduhr "Easy Learning", Durchmesser 30 cm, geräuscharm

    Preis: 25.49 € | Versand*: 6.95 €
  • Human Learning
    Human Learning

    Ormrod’s engaging, conversational writing style introduces readers to all of the essential learning theories and their real-world classroom implications The market-leading education textbook on learning theories, Human Learning, looks at a broad range of theoretical perspectives, including behaviorist, social cognitive, cognitive, constructivist, cognitive-developmental, sociocultural, and contextual. Each chapter is filled with concrete examples of how these theories apply to learning, instruction, and assessment as well as specific ways readers can apply the theories in their own classrooms. The straightforward, conversational writing style readily engages readers and helps them truly understand the concepts, principles, and theories related to human learning and cognition. The new 8th Edition includes expanded discussions of several contemporary perspectives and a variety of new topics that have emerged in recent research (e.g., motivated reasoning, desirable difficulties). Some discussions of psychological perspectives on learning that have primarily historical value have been either condensed or altogether removed to make room for recent advances in theory and research.

    Preis: 90.94 € | Versand*: 0 €
  • Was kann LinkedIn?

    Was kann LinkedIn? LinkedIn ist eine professionelle Plattform, die es Nutzern ermöglicht, ihr berufliches Netzwerk aufzubauen und zu pflegen. Man kann dort Stellenangebote suchen, sich über Branchentrends informieren und sich mit anderen Fachleuten austauschen. Zudem bietet LinkedIn die Möglichkeit, eigene Erfahrungen und Kompetenzen zu präsentieren und sich als Experte in einem bestimmten Bereich zu positionieren. Durch gezieltes Networking können Nutzer neue berufliche Chancen entdecken und ihre Karriere vorantreiben.

  • Was bringen Xing und LinkedIn?

    Xing und LinkedIn sind professionelle soziale Netzwerke, die es Nutzern ermöglichen, berufliche Kontakte zu knüpfen, sich über Branchentrends und Jobangebote zu informieren und ihr berufliches Netzwerk zu pflegen. Sie bieten eine Plattform, um sich selbst und seine Fähigkeiten zu präsentieren, was besonders für die Jobsuche oder das Networking von Vorteil ist. Durch die Mitgliedschaft in diesen Netzwerken können Nutzer auch von anderen Fachleuten lernen, sich über aktuelle Entwicklungen in ihrer Branche informieren und potenzielle Geschäftspartner finden. Darüber hinaus bieten Xing und LinkedIn die Möglichkeit, an Diskussionen teilzunehmen, sich als Experte zu positionieren und so die eigene Reputation zu stärken.

  • Wie lautet dein LinkedIn-Profil?

    Als KI-Assistent habe ich kein eigenes LinkedIn-Profil. Ich bin ein virtueller Assistent, der entwickelt wurde, um Benutzern bei verschiedenen Aufgaben und Fragen zu helfen.

  • Wie viele Hashtags auf LinkedIn?

    Auf LinkedIn ist es üblich, weniger Hashtags zu verwenden als auf Plattformen wie Instagram oder Twitter. Es wird empfohlen, maximal 3-5 relevante Hashtags in einem LinkedIn-Beitrag zu verwenden, um die Sichtbarkeit zu erhöhen und das Engagement zu steigern. Zu viele Hashtags können als unprofessionell angesehen werden und den Fokus von Ihrem Inhalt ablenken. Es ist wichtig, dass die Hashtags, die Sie wählen, relevant für Ihren Beitrag und Ihre Zielgruppe sind, um die gewünschten Ergebnisse zu erzielen. Letztendlich ist es ratsam, die Anzahl der Hashtags auf LinkedIn zu begrenzen und sich auf Qualität und Relevanz zu konzentrieren.

Ähnliche Suchbegriffe für LinkedIn Learning:


  • Introducing Machine Learning
    Introducing Machine Learning

    Master machine learning concepts and develop real-world solutions Machine learning offers immense opportunities, and Introducing Machine Learning delivers practical knowledge to make the most of them. Dino and Francesco Esposito start with a quick overview of the foundations of artificial intelligence and the basic steps of any machine learning project. Next, they introduce Microsoft’s powerful ML.NET library, including capabilities for data processing, training, and evaluation. They present families of algorithms that can be trained to solve real-life problems, as well as deep learning techniques utilizing neural networks. The authors conclude by introducing valuable runtime services available through the Azure cloud platform and consider the long-term business vision for machine learning. ·        14-time Microsoft MVP Dino Esposito and Francesco Esposito help you ·         Explore what’s known about how humans learn and how intelligent software is built ·         Discover which problems machine learning can address ·         Understand the machine learning pipeline: the steps leading to a deliverable model ·         Use AutoML to automatically select the best pipeline for any problem and dataset ·         Master ML.NET, implement its pipeline, and apply its tasks and algorithms ·         Explore the mathematical foundations of machine learning ·         Make predictions, improve decision-making, and apply probabilistic methods ·         Group data via classification and clustering ·         Learn the fundamentals of deep learning, including neural network design ·         Leverage AI cloud services to build better real-world solutions faster     About This Book ·         For professionals who want to build machine learning applications: both developers who need data science skills and data scientists who need relevant programming skills ·         Includes examples of machine learning coding scenarios built using the ML.NET library

    Preis: 29.95 € | Versand*: 0 €
  • School Development, Teacher Training, and Digital Learning Contexts
    School Development, Teacher Training, and Digital Learning Contexts

    School Development, Teacher Training, and Digital Learning Contexts , This book summarizes the results of a multimethod project on school development performed during the COVID-19 pandemic. It combines innovative theoretical approaches and findings as well as long-term online research activities in which student assessments delivered the bases for adaptive teacher trainings. The theoretical foundations relate to sustainable conditions of classroom and school development, an approach to personality development, and a focus on instructional coherence. Empirical findings concern the development of learning-strategy use and classroom needs over time as well as a model for effective teacher education and related course evaluations. A further research area concerns advanced perspectives from digital-learning research, such as the effects of social media in classrooms, mixed and virtual learning materials, computer-based collaborative learning, and innovative interventions in media research. The book is aimed at researchers, teacher trainers, instructional designers, and practitioners in the field of school development as well as teacher education. , Studium & Erwachsenenbildung > Fachbücher, Lernen & Nachschlagen

    Preis: 34.90 € | Versand*: 0 €
  • Interface Design for Learning: Design Strategies for Learning Experiences
    Interface Design for Learning: Design Strategies for Learning Experiences

    In offices, colleges, and living rooms across the globe, learners of all ages are logging into virtual laboratories, online classrooms, and 3D worlds. Kids from kindergarten to high school are honing math and literacy skills on their phones and iPads. If that weren’t enough, people worldwide are aggregating internet services (from social networks to media content) to learn from each other in “Personal Learning Environments.” Strange as it sounds, the future of education is now as much in the hands of digital designers and programmers as it is in the hands of teachers.And yet, as interface designers, how much do we really know about how people learn? How does interface design actually impact learning? And how do we design environments that support both the cognitive and emotional sides of learning experiences? The answers have been hidden away in the research on education, psychology, and human computer interaction, until now. Packed with over 100 evidence-based strategies, in this book you’ll learn how to:Design educational games, apps, and multimedia interfaces in ways that enhance learningSupport creativity, problem-solving, and collaboration through interface designDesign effective visual layouts, navigation, and multimedia for online and mobile learningImprove educational outcomes through interface design.

    Preis: 18.18 € | Versand*: 0 €
  • Evolutionary Deep Learning
    Evolutionary Deep Learning

    Discover one-of-a-kind AI strategies never before seen outside of academic papers! Learn how the principles of evolutionary computation overcome deep learning's common pitfalls and deliver adaptable model upgrades without constant manual adjustment.In Evolutionary Deep Learning you will learn how to:Solve complex design and analysis problems with evolutionary computationTune deep learning hyperparameters with evolutionary computation (EC), genetic algorithms, and particle swarm optimizationUse unsupervised learning with a deep learning autoencoder to regenerate sample dataUnderstand the basics of reinforcement learning and the Q Learning equationApply Q Learning to deep learning to produce deep reinforcement learningOptimize the loss function and network architecture of unsupervised autoencodersMake an evolutionary agent that can play an OpenAI Gym gameEvolutionary Deep Learning is a guide to improving your deep learning models with AutoML enhancements based on the principles of biological evolution. This exciting new approach utilizes lesser-known AI approaches to boost performance without hours of data annotation or model hyperparameter tuning.about the technologyEvolutionary deep learning merges the biology-simulating practices of evolutionary computation (EC) with the neural networks of deep learning. This unique approach can automate entire DL systems and help uncover new strategies and architectures. It gives new and aspiring AI engineers a set of optimization tools that can reliably improve output without demanding an endless churn of new data.about the readerFor data scientists who know Python. 

    Preis: 56.7 € | Versand*: 0 €
  • Wie funktioniert LinkedIn Sales Navigator?

    LinkedIn Sales Navigator ist ein leistungsstarkes Tool für Vertriebsprofis, das speziell für die Leadgenerierung und die Kontaktpflege entwickelt wurde. Es ermöglicht Benutzern, gezielt nach potenziellen Kunden zu suchen, relevante Updates zu verfolgen und Beziehungen zu Interessenten aufzubauen. Durch die Nutzung von Filtern und Suchfunktionen können Vertriebsmitarbeiter ihre Suche nach bestimmten Kriterien wie Branche, Unternehmensgröße oder Standort eingrenzen. Zudem bietet Sales Navigator Funktionen wie InMail, die es Benutzern ermöglichen, direkte Nachrichten an potenzielle Kunden zu senden, auch wenn sie nicht direkt verbunden sind. Durch die Integration von CRM-Systemen können Vertriebsmitarbeiter außerdem ihre Aktivitäten verfolgen und den Erfolg ihrer Leadgenerierungsbemühungen messen.

  • Wie funktioniert der LinkedIn Algorithmus?

    Wie funktioniert der LinkedIn Algorithmus?

  • Für wen eignet sich LinkedIn?

    LinkedIn eignet sich hauptsächlich für berufstätige Personen, die ihr berufliches Netzwerk erweitern möchten, neue Karrieremöglichkeiten suchen oder sich beruflich weiterentwickeln wollen. Es ist auch für Unternehmen und Recruiter geeignet, um Fachkräfte zu finden, Stellenangebote zu veröffentlichen und sich mit potenziellen Bewerbern zu vernetzen. Darüber hinaus können Selbstständige und Unternehmer LinkedIn nutzen, um ihre Marke zu stärken, neue Kunden zu gewinnen und sich als Experten in ihrer Branche zu positionieren. Generell ist LinkedIn für alle Personen geeignet, die an professionellem Networking, Karriereentwicklung und dem Austausch von Fachwissen interessiert sind.

  • Hat jemand Erfahrung mit LinkedIn?

    Ja, viele Menschen haben Erfahrung mit LinkedIn. LinkedIn ist eine professionelle Plattform, auf der Benutzer ihr berufliches Netzwerk aufbauen, Stellenangebote suchen und Informationen zu Unternehmen und Branchen finden können. Es wird von Fachleuten aus verschiedenen Branchen genutzt, um Kontakte zu knüpfen und berufliche Möglichkeiten zu erkunden.

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